TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 6:50 PM EST
Kalshi
This set of markets tracks the point differential in a college football game between Ohio and Kent State. Each market corresponds to a specific margin of victory, allowing participants to speculate on how decisively either team might win.
All markets resolve based on the official final point differential of the Ohio vs Kent St. college football game scheduled for Oct 3, 2026. If Ohio wins by a margin exceeding the specified threshold in any 'Ohio wins by over X points' market, that market resolves to Yes; if Kent St. wins by a margin exceeding the threshold in any 'Kent St. wins by over X points' market, that market resolves to Yes. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the final result. If the game fails to start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants under these contingency conditions.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals trading based on their own information and beliefs. Often, prediction markets are considered more accurate forecasters of event outcomes than traditional polls or analysts, as they incentivize accurate predictions through financial rewards. It’s common to see this market adjust rapidly to new information, potentially leading to discrepancies with initial sportsbook lines.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the game. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy contracts for a particular spread, the price increases, and vice versa. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of those trading on the outcome of the Ohio vs Kent State game. The current price indicates what traders believe is the most likely spread.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Ohio vs Kent State game, as determined by official game statistics, will be used to determine which contracts pay out. Contracts predicting the actual spread will settle at 100, while those predicting a different spread will settle at 0. The resolution process ensures a transparent and objective determination of the market's outcome based on the official results of the game.
Several factors could influence the price movement of this market before the game concludes. Any news regarding injuries to key players on either the Ohio or Kent State teams would likely cause significant shifts. Changes in weather forecasts, particularly if they are expected to impact the game's playing conditions, could also move the market. Public perception, reflected in betting trends and expert analysis, can also play a role. Finally, any significant line movements in traditional sportsbooks could prompt traders to reassess their positions and adjust their bids in this market.